DEPTH4 · Reference

What Is Macro Intelligence? How DEPTH4 Reads the News Cascade Before It Prices Into Markets

DEPTH4 ingests 75+ tier-ranked macro and geopolitical sources around the clock, structures live theses across D1–D4 horizons, and surfaces mispriced assets before the crowd reprices — grounded in research on narrative diffusion and geopolitical risk.

Last updated 2026-06-09. Research references below — not investment advice.

The problem with chart-only analysis

Price is the last domino — by the time it moves on a chart, the macro cascade has often already started.

Every investor watching charts is watching the same lagging signal. By the time a macro shift appears in candlesticks or price action, the trigger event has usually already happened: the Fed decision published, the BLS release landed, the policy signal cleared, the fund repositioned.

Investors who capture asymmetric macro returns are not reacting to price alone. They read the cascade that produces price — and act before the crowd reprices. That discipline is macro intelligence.

Key research: Cutler, D. M., Poterba, J. M. & Summers, L. H. (1989); Hong, H. & Stein, J. C. (1999)

What macro intelligence actually means

Macro intelligence structures multi-event arcs into tradable theses — cause, path, timing, and market implication.

A macro event is not a single headline. It is an arc: a policy signal triggers institutional reallocation, which creates sector pressure, which produces asset-level mispricing. By the time one headline resolves, second- and third-order effects are already in motion.

The discipline is not about reading more news. It is about structuring news into coherent theses about what comes next — with explicit mechanisms and timing, not headline rewrites.

  • Central bank policy — rate decisions, forward guidance, minutes, regional Fed speeches.
  • Economic data — employment, CPI, PPI, PMI, GDP revisions.
  • Geopolitical and systemic events — conflict escalation, sanctions, supply-chain disruption.
  • Institutional positioning — fund flows, sector rotation, large-holder disclosures.
  • Market structure — credit spreads, yield-curve dynamics, FX and safe-haven flows.

Key research: Shiller, R. J. (2019); Baker, S. R., Bloom, N. & Davis, S. J. (2016)

How DEPTH4 structures the news cascade: D1–D4

The D1-D4 macro cascade diagram showing how a verified macro trigger (D1, Now) ripples through first repricing (D2, This Week), second-order spillovers (D3, This Month), and systemic regime shifts (D4, This Quarter), with edge widening and crowding decreasing at each stage.

Four time horizons map each verified trigger to downstream implications — where most traders stop after D2.

DEPTH4 organizes every macro signal into a causal cascade. D1 causes D2; D2 spills into D3; D3 can reshape D4 regime pricing. Each level targets different assets and horizons.

D1 — Now: verified events and immediate data

Confirmed, time-stamped macro events: a Fed decision, a BLS release, a central-bank statement, a verified geopolitical development. These are triggers — certain in occurrence, uncertain in full market path.

D2 — This week: first repricing and obvious moves

Immediate market response: sectors repricing on rate guidance, FX adjusting to data surprises, commodities reacting to conflict headlines. Many participants only trade D2 — by the time they act, the obvious leg is often crowded.

D3 — This month: second-order spillovers

Where much institutional alpha lives: credit-sensitive sectors reprice, EM pressure builds, high-duration assets respond to revised curves. D3 requires connecting policy, data, and positioning — not reacting to one headline.

D4 — This quarter: systemic shifts and deep mispricing

Structural regime changes: multi-month disinflation paths, geopolitical reallocation of supply chains, credibility shifts at the long end. D4 is often the widest room layer because the crowd has not fully arrived.

How news moves markets (research view)

Headlines move prices through attention, uncertainty, and cash-flow expectations — often with delay.

Event studies show news explains a meaningful share of short-horizon price changes, but adjustment is incomplete and staggered across investor cohorts.

Media-sentiment research (Tetlock, 2007) links coverage intensity to continued volatility and drift — consistent with slow diffusion. The first daily move is rarely the last move in the narrative arc.

Key research: Cutler, D. M., Poterba, J. M. & Summers, L. H. (1989); Tetlock, P. C. (2007); Hong, H. & Stein, J. C. (1999)

Geopolitical events and cross-asset transmission

Geopolitical shocks raise measurable risk premia and re-route trade, energy, and defense capital.

Geopolitical Risk (GPR) research documents that war-risk and tension shocks predict equity drawdowns, volatility spikes, and flight-to-quality flows — often beyond the initial headline window.

Policy uncertainty indices complement GPR: sanctions, elections, and regime changes alter investment horizons before they fully appear in earnings.

  • Energy chokepoints → oil/gas, refining margins, inflation expectations.
  • Sanctions and export controls → FX, industrial metals, semiconductors.
  • Defense escalation → primes, shipping insurance, safe-haven flows.
  • Alliance/fracture headlines → EM spreads, regional banks, tourism FX.

Key research: Caldara, D. & Iacoviello, M. (2022); Baker, S. R., Bloom, N. & Davis, S. J. (2016)

Forecasting models that survive contact with markets

Strong macro calls combine base rates, explicit scenarios, and calibration — not single-point guesses.

Superforecasting research emphasizes outside-view base rates, granular decomposition, Bayesian updating, and honest confidence intervals. Headline reactions fail when they skip base rates and treat "possible" as "likely."

Scenario trees outperform binary framing: clean-win, messy-win, stalemate, and thesis-broken paths imply different asset bundles. Prediction markets and policy-risk indices are calibration anchors — reconcile them with model odds, do not treat either as truth.

  • Base rate first — what usually happens after similar events?
  • Decompose — separate trigger, mechanism, timing, and asset channel.
  • Update — new headlines shift weights; stale probabilities are a failure mode.
  • Calibrate — compare model odds to market-implied and crowd-implied prices.

Key research: Tetlock, P. E. & Gardner, D. (2015); Baker, S. R., Bloom, N. & Davis, S. J. (2016)

The unpriced gap: room before the crowd catches up

Mispricing is the gap between scenario-implied moves and what prices already embed — per asset, per horizon.

Gradual information diffusion implies macro narratives rarely fully price in one session. Room — the unpriced gap in DEPTH4 — estimates how much of a scenario's implication remains absent from current pricing.

Room is not conviction. Conviction asks how likely a path is; room asks how much of that path is already traded. Each live signal shows direction, room, and thesis clarity (how many theses lean which way) so the card is never a black-box score.

  • Mostly priced in (<10% room) — narrative largely absorbed; edge is thin.
  • Tight (10–20%) — some residual move; execution and timing dominate.
  • Moderate (20–35%) — meaningful asymmetry if catalysts hold.
  • Wide (>35%) — rare; requires strong mechanism and verified sources.

Key research: Hong, H. & Stein, J. C. (1999); Tetlock, P. E. & Gardner, D. (2015)

What DEPTH4 monitors

Tier-ranked ingestion across wires, policy, data, and conflict feeds — mapped to 40+ tracked assets.

DEPTH4 ingests 75+ tier-ranked macro and geopolitical sources continuously, including Reuters and AFP wires, Bloomberg and BBC, AP and NY Times, global central banks, BLS and BEA macro data, ISW and Chatham House geopolitics, Argus energy, Anadolu regional coverage, and curated sector feeds.

The engine clusters events, rejects low-quality headline rewrites, and maps each D1 trigger to downstream D2–D4 implications across equities, rates, FX, commodities, and defense-linked names.

  • Direction — consensus lean across contributing theses (LONG / SHORT / MIXED / NEUTRAL).
  • Room — estimated unpriced gap before the narrative is fully absorbed.
  • Thesis clarity — how many theses lean up vs down; expandable contributing thesis list.

DEPTH4 vs traditional financial data tools

Bloomberg and TradingView are data and charting layers; DEPTH4 is the macro intelligence layer above them.

Bloomberg Terminal excels at institutional data access and terminal workflows. TradingView excels at charting and technical pattern work. DEPTH4 reads the cascade that determines where price goes next — structured theses, scenario probabilities, and room estimates tied to verified sources.

The three are complementary in practice: data and charts inform execution; macro intelligence informs what deserves attention before the chart confirms it.

Bloomberg TerminalTradingViewDEPTH4
Primary inputFinancial data & terminalsPrice chartsNews cascade & macro theses
Primary outputData lookup & workflowsTechnical signalsD1–D4 theses & asset signals
Time horizonHistorical + real-time dataTechnical patternsForward D1–D4 cascade
Best forInstitutional data accessChart-driven tradersMacro-driven investment decisions
RelationshipUnderlying data layerVisualization layerIntelligence layer on top

Who uses macro intelligence

Top-down decision makers who need systematic monitoring, not another headline feed.

  • Fund and portfolio managers monitoring multi-asset macro risk.
  • Independent analysts publishing research on macro themes.
  • Proprietary traders combining macro thesis with tactical sizing.
  • Family offices running macro overlay on diversified books.
  • Informed retail investors who want institutional-quality structure without building the pipeline manually.

Where DEPTH4 fits

DEPTH4 operationalizes macro intelligence: news → cascade → room → signals — with traceable theses.

Each published thesis must include cause, path, timing, and market implication — or the engine rejects it. The SIGNALS page conglomerates thesis leans and room into asset cards; the feed shows the loop updating as evidence arrives.

DEPTH4 does not provide personalized investment advice. It compresses research labor so you can decide faster with transparent reasoning behind every signal.

Research references

Selected academic sources underpinning the framework above. DEPTH4 applies these ideas operationally in its news-to-signals pipeline.

  1. 1. Tetlock, P. E. & Gardner, D. (2015). Superforecasting: The Art and Science of Prediction. Crown.

    Base rates, outside-view discipline, and calibrated scenario updating beat intuition for geopolitical and macro calls.

  2. 2. Shiller, R. J. (2019). Narrative Economics: How Stories Go Viral and Drive Major Economic Events. Princeton University Press.

    Epidemic-style narrative contagion helps explain why similar macro stories produce persistent, cross-asset moves.

  3. 3. Cutler, D. M., Poterba, J. M. & Summers, L. H. (1989). What Moves Stock Prices?. Journal of Portfolio Management.

    Daily equity moves correlate with news flow; macro headlines are a first-order driver of short-horizon returns.

  4. 4. Caldara, D. & Iacoviello, M. (2022). Measuring Geopolitical Risk. American Economic Review: Insights.

    Geopolitical risk shocks raise uncertainty, hit equities, and move safe havens — with effects that persist beyond the headline week.

  5. 5. Baker, S. R., Bloom, N. & Davis, S. J. (2016). Measuring Economic Policy Uncertainty. Quarterly Journal of Economics.

    Policy-uncertainty spikes foreshadow weaker investment and risk-off moves; news-based indices track macro fragility.

  6. 6. Hong, H. & Stein, J. C. (1999). A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets. Journal of Finance.

    Information diffuses slowly across investor groups — creating momentum and delayed repricing after macro shocks.

  7. 7. Tetlock, P. C. (2007). Giving Content to Investor Sentiment: The Role of Media in the Stock Market. Journal of Finance.

    High media coverage of macro topics predicts volatility and return continuation as investors digest the story.

Frequently asked questions

What is DEPTH4?
DEPTH4 ingests 75+ tier-ranked macro and geopolitical sources continuously, structures live investment theses across D1–D4 time horizons, and surfaces asset signals where the market is still behind the news cascade.
What is macro intelligence?
Macro intelligence is the systematic reading of macro events — policy, data releases, geopolitical shifts, and institutional flows — to anticipate repricing before it is fully reflected in prices. It maps multi-step arcs, not single headlines.
How is DEPTH4 different from Bloomberg Terminal or TradingView?
Bloomberg Terminal and TradingView focus on financial data access and price charts. DEPTH4 reads the macro news cascade — policy shifts, spillover mechanisms, and scenario paths — to identify mispricing before the chart moves. The tools are complementary: data and charts on one side, macro thesis intelligence on the other.
What does the D1–D4 cascade mean?
D1 (now) captures verified trigger events. D2 (this week) is the first obvious repricing. D3 (this month) is second-order spillover across connected assets. D4 (this quarter) is systemic regime shift — often the most mispriced layer because the crowd has not arrived yet.
What is the unpriced gap?
The unpriced gap — room in DEPTH4 — is the difference between what a scenario implies for an asset and what current pricing already reflects. It is an estimate of remaining repricing space, not a guarantee of returns.
Why do markets often underreact to major news?
Research on information diffusion shows prices adjust gradually: attention is limited, narratives spread unevenly, and second-order effects take time to map. That lag creates a window between the headline and full repricing.
What macro sources does DEPTH4 monitor?
DEPTH4 ingests 75+ tier-ranked macro and geopolitical sources continuously — Reuters and AFP wires, Bloomberg and BBC, AP and NY Times, global central banks, BLS and BEA macro data, ISW and Chatham House geopolitics, Argus energy, Anadolu regional coverage, and curated sector feeds. See the live list at /sources.
Who is DEPTH4 designed for?
Fund managers, independent macro analysts, prop traders, family offices, and informed retail investors who use top-down macro reasoning and want institutional-quality thesis structure without building the pipeline by hand.
Is DEPTH4 investment advice?
No. DEPTH4 is not a broker and does not provide personalized investment advice. It supplies macro intelligence — structured theses and signals from public sources — for use with your own research and risk limits.
How do I get started with DEPTH4?
Create an account at https://depth4.com/signup to view live signals. Pricing tiers are at https://depth4.com/pricing. Public thesis examples are at https://depth4.com/public-theses.

Try DEPTH4

DEPTH4 turns macro news into traceable theses, room estimates, and live asset signals — built for traders who care about mechanism, not headlines alone.

DEPTH4 is not a broker. Not personalized investment advice. All signals are derived from publicly available macro sources. Users are responsible for their own investment decisions.